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<div class="header">
  <div class="summary">
<a href="#func-members">Functions</a>  </div>
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<div class="title">Numeric<div class="ingroups"><a class="el" href="../../d8/d8c/group__sfm.html">Structure From Motion</a></div></div>  </div>
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Functions</h2></td></tr>
<tr class="memitem:ga10bf67ff702c28406312748f905863ec"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/d6a/group__numeric.html#ga10bf67ff702c28406312748f905863ec">cv::sfm::meanAndVarianceAlongRows</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> A, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> <a class="el" href="../../d2/de8/group__core__array.html#ga191389f8a0e58180bb13a727782cd461">mean</a>, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> variance)</td></tr>
<tr class="memdesc:ga10bf67ff702c28406312748f905863ec"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the mean and variance of a given matrix along its rows.  <a href="../../d1/d6a/group__numeric.html#ga10bf67ff702c28406312748f905863ec">More...</a><br /></td></tr>
<tr class="separator:ga10bf67ff702c28406312748f905863ec"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga281f0a5a7375c577d33672cb33604718"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/d6a/group__numeric.html#ga281f0a5a7375c577d33672cb33604718">cv::sfm::skew</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> x)</td></tr>
<tr class="memdesc:ga281f0a5a7375c577d33672cb33604718"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the 3x3 skew symmetric matrix of a vector.  <a href="../../d1/d6a/group__numeric.html#ga281f0a5a7375c577d33672cb33604718">More...</a><br /></td></tr>
<tr class="separator:ga281f0a5a7375c577d33672cb33604718"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<h2 class="groupheader">Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ga10bf67ff702c28406312748f905863ec">&#9670;&nbsp;</a></span>meanAndVarianceAlongRows()</h2>

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          <td class="memname">void cv::sfm::meanAndVarianceAlongRows </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>&#160;</td>
          <td class="paramname"><em>A</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a>&#160;</td>
          <td class="paramname"><em>mean</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a>&#160;</td>
          <td class="paramname"><em>variance</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
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<p><code>#include &lt;<a class="el" href="../../de/dd5/numeric_8hpp.html">opencv2/sfm/numeric.hpp</a>&gt;</code></p>

<p>Computes the mean and variance of a given matrix along its rows. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">A</td><td>Input NxN matrix. </td></tr>
    <tr><td class="paramname">mean</td><td>Output Nx1 matrix with computed mean. </td></tr>
    <tr><td class="paramname">variance</td><td>Output Nx1 matrix with computed variance.</td></tr>
  </table>
  </dd>
</dl>
<p>It computes in the same way as woud do <a class="el" href="../../d2/de8/group__core__array.html#ga4b78072a303f29d9031d56e5638da78e">reduce</a> but with <em>Variance</em> function. </p>

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<a id="ga281f0a5a7375c577d33672cb33604718"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga281f0a5a7375c577d33672cb33604718">&#9670;&nbsp;</a></span>skew()</h2>

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          <td class="memname"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> cv::sfm::skew </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>&#160;</td>
          <td class="paramname"><em>x</em></td><td>)</td>
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<p><code>#include &lt;<a class="el" href="../../de/dd5/numeric_8hpp.html">opencv2/sfm/numeric.hpp</a>&gt;</code></p>

<p>Returns the 3x3 skew symmetric matrix of a vector. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">x</td><td>Input 3x1 vector.</td></tr>
  </table>
  </dd>
</dl>
<p>Reference: <a class="el" href="../../d0/de3/citelist.html#CITEREF_HartleyZ00">[103]</a>, p581, equation (A4.5). </p>

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